Self-Evolvable Protocol Design Using Genetic Algorithms-Reference-Cited by-同舟云学术

Self-Evolvable Protocol Design Using Genetic Algorithms

Published: Issue: Volume: Page:36-56
ISSN:
Container-title:Principal Concepts in Applied Evolutionary Computation
language:
Short-container-title:

Author:

Yao Wenbing¹,Guan Sheng-Uei²,Jiang Zhiqiang³,Kiourktsidis Ilias⁴

Affiliation:

1. Huawei Technologies, UK

2. Xian Jiatong-Liverpool University, China

3. National University of Singapore, Singapore

4. Brunel University, UK

Abstract

Self-modifying protocols (SMP) are protocols that can be modified at run time by the computers using them. Such protocols can be modified at run time so that they can adapt to the changing communicating environment and user requirements on the fly. Evolvable protocols are SMP designed using Genetic Algorithms (GA). The purpose of this paper is to apply Genetic Algorithms (GA) to design an evolvable protocol in order to equip communication peers with more autonomy and intelligence. The next-generation Internet will benefit from the concept of evolvable protocols. In this paper, we design a Self Evolvable Transaction Protocol (SETP) with a GA executor embedded. We then use the Network Simulator (NS2) to evaluate this evolvable protocol module to demonstrate the feasibility of our new design approach.

Publisher

IGI Global

Reference29 articles.

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